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Allocating Emergency Beds Improves the Emergency Admission Flow

Author

Listed:
  • A. J. Thomas Schneider

    (Department of Quality & Patient Safety, Leiden University Medical Center, Leiden 2333 ZA, Netherlands; Center for Healthcare Operations Improvement and Research, University of Twente, Enschede 7500 AE, Netherlands;)

  • P. Luuk Besselink

    (ORTEC Consulting, Houston, Texas 77027)

  • Maartje E. Zonderland

    (Center for Healthcare Operations Improvement and Research, University of Twente, Enschede 7500 AE, Netherlands)

  • Richard J. Boucherie

    (Center for Healthcare Operations Improvement and Research, University of Twente, Enschede 7500 AE, Netherlands)

  • Wilbert B. van den Hout

    (Department of Medical Decision Making, Leiden University Medical Center, Leiden 2333 ZA, Netherlands)

  • Job Kievit

    (Department of Medical Decision Making, Leiden University Medical Center, Leiden 2333 ZA, Netherlands)

  • Paul Bilars

    (Department of Internal Medicine, Leiden University Medical Center, Leiden 2333 ZA, Netherlands)

  • A. Jaap Fogteloo

    (Department of Internal Medicine, Leiden University Medical Center, Leiden 2333 ZA, Netherlands)

  • Ton J. Rabelink

    (Department of Internal Medicine, Leiden University Medical Center, Leiden 2333 ZA, Netherlands)

Abstract

The increasing number of admissions to hospital emergency departments (EDs) during the past decade has resulted in overcrowded EDs and decreased quality of care. The emergency admission flow that we discuss in this study relates to three types of hospital departments: EDs, acute medical unit (AMUs), and inpatient wards. This study has two objectives: (1) to evaluate the impact of allocating beds in inpatient wards to accommodate emergency admissions and (2) to analyze the impact of pooling the number of beds allocated for emergency admissions in inpatient wards. To analyze the impact of various allocations of emergency beds, we developed a discrete event simulation model. We evaluate the bed allocation scenarios using three performance indicators: (1) the length of stay in the AMU, (2) the fraction of patients refused admission, and (3) the utilization of allocated beds. We develop two heuristics to allocate beds to wards and show that pooling beds improves performance. The partnering hospital has embedded a decision support tool based on the simulation model into its planning and control cycle. The hospital uses it every quarter and updates it with data on a 1-year rolling horizon. This strategy has substantially reduced the number of patients who are refused emergency admission.

Suggested Citation

  • A. J. Thomas Schneider & P. Luuk Besselink & Maartje E. Zonderland & Richard J. Boucherie & Wilbert B. van den Hout & Job Kievit & Paul Bilars & A. Jaap Fogteloo & Ton J. Rabelink, 2018. "Allocating Emergency Beds Improves the Emergency Admission Flow," Interfaces, INFORMS, vol. 48(4), pages 384-394, August.
    • Handle: RePEc:inm:orinte:v:48:y:2018:i:4:p:384-394
    DOI: 10.1287/inte.2018.0951
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    References listed on IDEAS

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    1. Peter Hulshof & Richard Boucherie & J. Essen & Erwin Hans & Johann Hurink & Nikky Kortbeek & Nelly Litvak & Peter Vanberkel & Egbert Veen & Bart Veltman & Ingrid Vliegen & Maartje Zonderland, 2011. "ORchestra: an online reference database of OR/MS literature in health care," Health Care Management Science, Springer, vol. 14(4), pages 383-384, November.
    2. Kyle Cattani & Glen M. Schmidt, 2005. "The Pooling Principle," INFORMS Transactions on Education, INFORMS, vol. 5(2), pages 17-24, January.
    3. Avishai Mandelbaum & Martin I. Reiman, 1998. "On Pooling in Queueing Networks," Management Science, INFORMS, vol. 44(7), pages 971-981, July.
    4. A. Bruin & R. Bekker & L. Zanten & G. Koole, 2010. "Dimensioning hospital wards using the Erlang loss model," Annals of Operations Research, Springer, vol. 178(1), pages 23-43, July.
    5. Eva K. Lee & Hany Y. Atallah & Michael D. Wright & Eleanor T. Post & Calvin Thomas & Daniel T. Wu & Leon L. Haley, 2015. "Transforming Hospital Emergency Department Workflow and Patient Care," Interfaces, INFORMS, vol. 45(1), pages 58-82, February.
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    Cited by:

    1. Miguel Angel Ortíz-Barrios & Juan-José Alfaro-Saíz, 2020. "Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review," IJERPH, MDPI, vol. 17(8), pages 1-41, April.
    2. David Scheinker & Margaret L. Brandeau, 2020. "Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities," Interfaces, INFORMS, vol. 50(3), pages 176-189, May.

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